Job Summary
State Street is seeking an experienced and innovative Agentic Quality Engineering Lead (AVP) to drive the next generation of software quality assurance through AI-powered testing, intelligent automation, and Agentic Engineering practices.
This leadership role will be responsible for transforming traditional quality engineering into a scalable, AI-enabled capability by integrating Agentic AI solutions across the software development lifecycle. The successful candidate will lead quality engineering teams, establish enterprise-wide testing strategies, and drive adoption of intelligent testing frameworks, automation platforms, and AI governance practices.
The ideal candidate combines deep expertise in quality engineering, software delivery, and test automation with a strong understanding of Generative AI, Agentic systems, and modern software engineering practices.
Why this role is important to us
As State Street continues its digital and AI transformation journey, quality assurance must evolve beyond traditional testing approaches.
Agentic AI presents a unique opportunity to redesign how quality is planned, engineered, executed, and governed. This role will play a critical part in enabling intelligent quality engineering capabilities that improve delivery velocity, enhance software reliability, strengthen risk controls, and elevate client outcomes.
You will help define how AI agents and quality engineers work together to create scalable, compliant, and highly efficient software delivery processes.
What you will be responsible for
As Agentic Quality Engineering Lead, you will:
Strategy & Transformation
- Define and execute the strategic roadmap for Agentic Quality Engineering.
- Drive quality transformation initiatives aligned with enterprise AI and engineering objectives.
- Champion adoption of AI-enabled testing practices across development organizations.
- Establish quality engineering standards, governance models, and operational metrics.
Agentic Testing & AI Innovation
- Design and implement intelligent testing frameworks leveraging Agentic AI capabilities.
- Lead development of AI-powered testing solutions including:
- Autonomous test generation
- Intelligent test maintenance
- Self-healing automation
- Defect prediction and analysis
- Release risk assessment
- Partner with AI engineering teams to validate and govern AI-powered products and solutions.
- Develop quality assurance strategies for LLM-based applications, copilots, chatbots, and Agentic workflows.
Quality Engineering Leadership
- Lead and mentor distributed Quality Engineering and SDET teams.
- Drive engineering excellence through automation-first testing practices.
- Foster a culture of innovation, continuous learning, and technology modernization.
- Support talent development and succession planning within the QA organization.
Test Automation & Delivery Excellence
- Define enterprise automation strategy and implementation roadmap.
- Improve automation coverage across UI, API, integration, and non-functional testing.
- Integrate automated quality gates into CI/CD pipelines.
- Promote Shift-Left and Shift-Right quality practices.
- Drive continuous improvement of quality metrics and delivery outcomes.
Governance, Risk & Compliance
- Define quality controls for Agentic AI systems and AI-enabled solutions.
- Ensure compliance with enterprise AI governance, security, and risk management standards.
- Establish frameworks for:
- Agent validation
- Output evaluation
- Hallucination mitigation
- Traceability and auditability
- Responsible AI adoption
Stakeholder Management
- Collaborate with Product, Engineering, Architecture, Security, and Business stakeholders.
- Provide executive reporting on quality performance, automation maturity, and operational risks.
- Influence technology investment decisions related to quality engineering and AI enablement.
What we value
These skills will help you succeed in this role:
- Strategic leadership and technology vision
- Strong understanding of modern software engineering practices
- Ability to influence senior stakeholders and drive organizational change
- Experience leading global teams within complex environments
- Passion for innovation and AI-driven transformation
- Data-driven decision making
- Exceptional communication and collaboration skills
- Strong problem-solving and analytical abilities
Education & Preferred Qualifications
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent experience.
- 10+ years of software quality engineering experience.
- 5+ years of leadership experience managing QA and Quality Engineering teams.
- Proven experience leading enterprise-wide automation initiatives.
- Strong knowledge of Agile, DevOps, and Software Development Lifecycle (SDLC) practices.
- Experience working within large-scale enterprise technology environments.
Technical Expertise
Experience with several of the following:
- Automated testing frameworks (Playwright, Selenium, Cypress, or equivalent)
- API and service testing
- CI/CD platforms
- Cloud-native architectures
- Test data management
- Performance and resilience testing
- Quality engineering metrics and reporting
AI & Agentic Experience
Preferred experience in:
- Generative AI solutions
- Large Language Models (LLMs)
- Agentic AI platforms and frameworks
- Prompt Engineering
- AI evaluation methodologies
- Retrieval-Augmented Generation (RAG)
- AI governance and responsible AI practices
- Intelligent automation platforms
Preferred Qualifications
- Master's degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.
- Experience in financial services, banking, or regulated industries.
- Relevant certifications in Quality Engineering, Cloud, AI, or Agile methodologies.
- Experience leading AI-enabled software delivery transformation programs.
Additional Requirements
- Ability to collaborate effectively across global teams and time zones.
- Strong executive presence and presentation skills.
- Comfortable operating in a fast-paced, evolving technology environment.
- Demonstrated ability to lead large-scale transformation initiatives.
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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